This unit is a duplicate unit of FIT5145. The ITIxxxx units have been created for the Monash Indonesia offering of the Master of Data Science due to the different teaching mode.

On successful completion of this unit, you should be able to:

1. Analyse the role of data in organisations, including curation and management issues;
2. Apply basic tools for performing exploratory data analysis and visualisation;
3. Apply basic tools for managing and processing big data;
4. Apply basic predictive modeling and data analysis methods;
5. Determine data storage and processing requirements for a data science project;
6. Identify data resources and standards.

020399

This unit looks at processes, case studies and simple tools to understand the many facets of working with data, and the significant effort in Data Science over and above the core task of Data Analysis. Working with data as part of a business model and the lifecycle in an organisation is considered, as well as business processes and case studies. Data and its handling is also introduced: characteristic kinds of data and its collection, data storage and basic kinds of data preparation, data cleaning and data stream processing. Styles of data analysis and outcomes of successful data exploration and analysis are reviewed. Standards, tools and resources are also reviewed. Basic curation and management are reviewed: archival and architectural practice, policy, legal and ethical issues.

On-campus

Examination (2 hours and 10 minutes): 50%; in-semester assessment: 50%.

To ensure that the students work is authentic, academic staff closely supervise students participation online and communicate with students by email regularly. They also conduct and document student interviews via the phone or online conferencing software throughout the semester. These methods complement our online assessment tools such as Respondus Lock-down browser and Turnitin.

Minimum total expected workload equals 144 hours per semester comprising:

1. Contact hours for on-campus students:
   • Two hours/week lectures.
   • Two hours/week laboratories.
2. Additional requirements:
   • A minimum of 8 hours per week of personal study for completing lab/tutorial activities, assignments, private study and revision, and for online students, participating in discussions.

FIT

ITI9136 and ITI9132